Virtual ChIP-seq Predictions for TF Binding in Cistrome and ENCODE-DREAM Datasets
by Mehran Karimzadeh / University of Toronto
Available on 1 platform
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Description
Two gzipped tarballs contain BED files of Virtual ChIP-seq posterior probabilities for transcription factor binding. The data corresponds to predictions on specific chromosomes (chr5, chr10, chr15, chr20 for Cistrome; chr1, chr8, chr21 for ENCODE-DREAM) in validation cell types. The dataset was created by Mehran Karimzadeh of the University of Toronto.
Use Cases
Benchmarking computational models for transcription factor binding based on the provided posterior probabilities.
Analyzing predicted binding patterns for specific transcription factors like FOXA1 and CTCF mentioned in the description.
Validating in silico ChIP-seq predictions against experimental datasets from the Cistrome and ENCODE-DREAM challenges.
Strengths
Data is organized into two distinct archives for the Cistrome and ENCODE-DREAM validation datasets.
Version 2.0.0 updates address missing predictions for FOXA1 and CTCF on specific chromosomes.
Predictions are provided for specific, named chromosomes and cell types, offering concrete validation targets.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
University of Toronto, Mehran Karimzadeh
Collection Method
Computational predictions (Virtual ChIP-seq) generated for validation datasets.
Data is provided as gzipped tarballs containing BED files; users must have tools to handle these formats.